You will get AI inference API deployment on AWS Docker or serverless
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Top Rated
Project details
A model that works in a notebook is not a service. Turning it into one means dealing with cold starts, memory limits, timeouts, what happens when two requests arrive at once, and a cloud bill that can quietly triple. I take your existing trained model or inference code and deploy it as a real API on AWS, Docker or serverless, with health checks, logs, and sane resource limits from the start. Before building I tell you honestly which runtime fits: Lambda is excellent for small CPU models and wrong for a large model with a slow cold start, and I will say so rather than deploying it and letting you discover the latency in production. You get the deployment, an API you can call, monitoring so failures are visible, a rollback path, and a written estimate of what it will cost per month at your expected traffic. I deploy models; I do not train them here.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOpsAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$250
|
Standard
$650
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | ||
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Frequently asked questions
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MA
Muhammad A.
Mar 27, 2025
Need a WordPress Expert to Clean sites from Virus
CD
Charles D.
Aug 30, 2024
Launch Redundant Environment For Development Website
I've been in tech 20+ years. Md. Ariful is an excellent DevOps engineer/Linux Administrator and web developer. He went above and beyond to:
1.create a disk image of our AWS EC2
2.setup and configure new file system on Linux webserver
3.migrate from AWS S3 buckets to Linux webserver hosted on another service
4.configure and launch website
1.create a disk image of our AWS EC2
2.setup and configure new file system on Linux webserver
3.migrate from AWS S3 buckets to Linux webserver hosted on another service
4.configure and launch website
MG
Mircea G.
Jul 30, 2023
Quick DigitalOcean job
MB
Michael B.
Dec 7, 2022
Network Admin Linux - Delist IP on Spamhaus
freelancer was unable to complete work over 2 days
did not seem to understand how to find the spam sender or handle it
missed a scheduled appt
freelancer was unavailable when entire mail system went down for our office
did not seem to understand how to find the spam sender or handle it
missed a scheduled appt
freelancer was unavailable when entire mail system went down for our office
LN
Lalit N.
Oct 14, 2022
Need Cloudflare SSL Installed:- 3 websites
Great freelancer
About Md. Ariful
WordPress, DevOps & Cloud Engineer | AWS, Linux, Cloudflare
100%
Job Success
Chuadanga, Bangladesh - 5:00 am local time
I troubleshoot production issues, harden environments, migrate sites safely, and document solutions so they remain straightforward to maintain.
I work across WordPress performance and security, AWS and Linux administration, Cloudflare, DNS, SSL, CI/CD workflows, Next.js/TypeScript applications, and technical SEO.
I can help with:
• WordPress troubleshooting, malware cleanup, performance optimization, and maintenance
• Website, hosting, and server migrations with rollback planning
• AWS, Linux, Nginx, Docker, Cloudflare, DNS, SSL, and monitoring
• Deployment automation and practical handover documentation
• Root-cause analysis for website, hosting, email-delivery, and production incidents
You will receive clear scope, direct communication, evidence-based recommendations, and a maintainable result.
Steps for completing your project
After purchasing the project, send requirements so Md. Ariful can start the project.
Delivery time starts when Md. Ariful receives requirements from you.
Md. Ariful works on your project following the steps below.
Revisions may occur after the delivery date.
Review model, runtime and target infrastructure
I check your code, dependencies and traffic expectations, then recommend the runtime that actually fits and explain the trade offs.
Package and deploy the inference API
I containerise the service, deploy it to your account, and add health checks, logging and resource limits that match your traffic.